Lead Engineer

Lead Engineer - Build the core of India's next- gen NBFC engine

Role Overview :

Join us to lead the engineering technology behind our NBFC platform-where AI- augmented workflows become foundational. You'll define the technical roadmap, integrate AI tooling into daily engineering, and build scalable, compliant systems that empower digital lending.

What You'll Do :

- Architect, build, and maintain core backend/data systems for credit pipelines, risk engines, and transaction workflows-using AI tools (e.g. Copilot, Roo, Cursor, prompt- based agents) to accelerate delivery.

- Ship rapidly with AI- powered MVPs; measure product impact, iterate based on feedback, and operationalize high- quality features.

- Own end- to- end delivery: from problem framing through design, code, deployment, monitoring, and iterations.

- Mentor and lead engineers-driving code quality, reviews, ownership, and continuous improvement.

- Collaborate cross- functionally with credit, risk, product, and compliance teams to deliver technical solutions that align with regulatory requirements.

- Implement DevOps best practices, CI/CD pipelines, observability tools, and AI- enabled automation to reduce manual overhead and speed development cycles.

Who You Are :

- AI- First Mindset : You've embedded AI agents, LLMs, or prompt- engineering into real product workflows to boost engineering output and impact.

- Startup DNA / Agency Attitude : You've thrived in high-growth or early-stage environments where scrappiness, bias for action, and taking ownership mattered. You prefer autonomy and high stakes, low resources.

- Technical Leadership : You bring 7+ years' experience in backend or full- stack engineering (Golang (preferred), Python, Java, Node.js), cloud infra (AWS/GCP/OCI), data pipelines, SQL/NoSQL, event streaming, Kubernetes, Serverless (Lambda/Fargate).

- Fintech & NBFC Exposure (preferred) : Familiarity with overall credit concepts, KYC/AML, compliance frameworks, and audit-grade software.

- Communication, Mentorship & Ownership : You clearly articulate tech ideas to non-tech stakeholders, mentor others, and advocate for product and process improvements. Add something on ownership

Qualifications :

- 7+ years in software engineering, preferably in fintech or high-throughput systems with almost 0 error rates.

- Experience applying AI tools (LLMs, agents, prompt systems) to real development or product workflows.

- Demonstrated success shipping production-scale systems-scalable, reliable, and secure.

- Bachelor's or Master's in Computer Science or equivalent; strong system design and architecture skills.

- Prior work at startups or fast-growth firms where you owned delivery under ambiguity and tight timelines.

What We Offer :

- A leadership role with significant ownership-shape the tech stack and AI-enabled engineering from day one.

- Competitive compensation and strong equity upside.

- Founders- driven culture: low hierarchy, high velocity, high impact.

- AI- enabled engineering culture: you'll lead adoption of tooling and workflows that redefine productivity.

Culture & Fit :

- You obsess over impact, not tasks-ship fast, measure fast, learn fast.

- You challenge assumptions, bring thoughtful critique, and improve engineering and product.

- You embed quality early-unit, integration, and E2E testing are baked into your delivery process, not tacked on.

- You take full ownership-find gaps and fix them, without waiting.

- You love AI tooling, but know to fallback on solid engineering when automation limits effectiveness-avoiding shallow prompt- first culture seen in poorly executed "AI pivots" .

- You thrive in lean teams, moving fluidly across product, engineering, and operations in a high-pressure, high-velocity startup mindset.

Summary :

If you're a founder-like lead engineer who combines AI productivity tools, systemic rigor, and startup velocity, this is a rare chance to shape a fintech platform from the ground up. If that excites you, we'd love to talk.